Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Turn local text PDFs and HTML files into clean Markdown, tables kept. Runs on your computer.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"doc2md-lite": {
"command": "uvx",
"args": [
"doc2md-lite",
"mcp"
]
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add doc2md-lite -- uvx doc2md-lite mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"doc2md-lite": {
"command": "uvx",
"args": [
"doc2md-lite",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"doc2md-lite": {
"type": "stdio",
"command": "uvx",
"args": [
"doc2md-lite",
"mcp"
]
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 tidybytetools 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.1.1)은 그저께 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, AvaHR
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read hiring data and create inactive assessment and questionnaire drafts for human review.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Free. No API key. Runs on your own computer, so your files stay with you.
A tool that turns a text PDF or a saved web page (.html) into clean Markdown. Tables stay real Markdown tables. Need Word files, chunks for AI search (RAG), whole folders or page ranges? The paid version does that: [doc2md on Gumroad](https://tidybyte.gumroad.com/l/frlkv)
Runs on your own computer, so your files are never uploaded anywhere. MIT license. Python 3.10 or newer, on Windows, Mac and Linux.
pip install doc2md-lite
Or use pipx, which keeps it in its own space:
pipx install doc2md-lite
Want the newest code from GitHub instead?
pip install git+https://github.com/tidybytetools/doc2md-lite
doc2md-lite report.pdf # writes report.md
doc2md-lite page.html -o page.md doc2md-lite report.pdf -o - # print the Markdown on screen doc2md-lite report.pdf --tables text # also find tables with no border lines
Example run:
Saved: report.md (4 headings, 1 tables)
What you get from a PDF:
# Spring Store Report
Our team checked every store in March. Most stores met the new goal...
| Region | Stores | Sales |
|---|---|---|
| North | 12 | $48,200 |
| South | 9 | $39,950 |
What it keeps: headings (found by font size and bold in PDFs), paragraphs, bullet and numbered lists, tables, and in HTML also bold, italic, links and code blocks. From web pages it drops scripts, styles, menus and footers.
When you run it in a terminal it ends with one short line about the paid version. --quiet turns it off, and it never shows when output is piped or redirected.
| lite (free) | doc2md | |
|---|---|---|
| Text PDF and HTML to Markdown | yes | yes |
| Tables kept as Markdown tables | yes | yes |
| Word (.docx), with bold, italic, links and lists | no | yes |
| RAG chunks (JSONL with page, heading path, size and overlap) | no | yes |
| Whole folders, sub-folders too | no | yes |
| Page ranges and password-protected PDFs | no | yes |
Pick what fits you. MarkItDown reads many more file types. pandoc is great for Word and HTML but does not read PDFs. pymupdf4llm is fast on PDFs but uses the AGPL license. doc2md-lite is small, MIT, keeps PDF tables as tables, and has an MCP server built in.
There is a small free MCP server built in. It gives your AI app one tool, convert_to_markdown. No API key or account is needed. It needs uv, which gives you the uvx command.
Run it by hand to check it starts (it waits quietly for an app to talk to it):
uvx --from doc2md-lite doc2md-lite-mcp
Shorter way to start the same server: uvx doc2md-lite mcp.
Pick your app below and copy the block. Restart the app after you save.
Open Settings > Developer > Edit Config. That opens claude_desktop_config.json. Add this:
{
"mcpServers": { "doc2md-lite": { "command": "uvx", "args": ["--from", "doc2md-lite", "doc2md-lite-mcp"] } } }
If Claude says it can't find uvx, run which uvx (Mac/Linux) or where uvx (Windows) and put that full path in "command".
Put the same block in ~/.cursor/mcp.json (all projects) or .cursor/mcp.json (one project):
{
"mcpServers": { "doc2md-lite": { "command": "uvx", "args": ["--from", "doc2md-lite", "doc2md-lite-mcp"] } } }
VS Code uses servers, not mcpServers. Put this in .vscode/mcp.json in your project, or run MCP: Open User Configuration to use it everywhere:
{
"servers": { "doc2md-lite": { "type": "stdio", "command": "uvx", "args": ["--from", "doc2md-lite", "doc2md-lite-mcp"] } } }
Or add it with one command:
code --add-mcp '{"name":"doc2md-lite","type":"stdio","command":"uvx","args":["--from","doc2md-lite","doc2md-lite-mcp"]}'
In the Cline panel, click the MCP Servers icon, open Configure, then click Configure MCP Servers. Add this inside mcpServers:
{
"mcpServers": { "doc2md-lite": { "command": "uvx", "args": ["--from", "doc2md-lite", "doc2md-lite-mcp"], "disabled": false, "autoApprove": [] } } }
One command:
codex mcp add doc2md-lite -- uvx --from doc2md-lite doc2md-lite-mcp
Or add this to ~/.codex/config.toml:
[mcp_servers.doc2md-lite]
command = "uvx" args = ["--from", "doc2md-lite", "doc2md-lite-mcp"]
This repo is also a Gemini CLI extension. Install it with:
gemini extensions install https://github.com/tidybytetools/doc2md-lite
Tool: convert_to_markdown(path, tables="lines", output_path=""). It returns the Markdown text. If you set output_path, it saves the file there and returns the path instead.
Turn the PDFs and web pages in your repo into Markdown on every push. Markdown is easy to search, easy to read in a pull request, and easy for AI tools to use.
name: Docs to Markdown
on: [push, pull_request] permissions: contents: read jobs: markdown: runs-on: ubuntu-latest steps:
Keep Markdown copies in sync. Do you commit a .md copy next to each PDF? Use check mode. The step fails, on the right file, when a copy is missing or out of date. It never writes anything in check mode.
- uses: tidybytetools/doc2md-lite@v1
with: files: docs/**/*.pdf check: "true"
To make the copies, run doc2md-lite your.pdf on your computer, or run the action without check and commit what it wrote. Use the same doc2md-lite version in both places so the output matches. The action installs fixed versions of pdfplumber and Beautiful Soup, so the same file always gives the same Markdown.
It runs the code in the same tag you pick. No API key, no account, and your files are not sent anywhere outside GitHub. It works on Linux, Windows and Mac runners. Scanned PDF pages (just a picture, no text) are skipped with a warning. Set fail-on-scanned: "true" to fail on them instead.
| Input | Default | What it does |
|---|---|---|
files | **/*.pdf | Which files to convert (.pdf, .html, .htm). Glob patterns, one per line or split by commas. |
exclude | node_modules/**, **/node_modules/**, vendor/** | Patterns to skip. |
output-dir | (empty) | Folder for the Markdown. It copies the folder layout. Empty saves each .md next to its file. |
tables | lines | PDF tables: lines (with borders), text (also lined up by spaces), or off. |
check | false | Only check. Fail if a Markdown copy is missing or out of date. |
fail-on-scanned | false | Fail when a PDF has scanned pages with no text. |
fail-if-no-files | true | Fail when no files match. |
artifact-name | (empty) | If set, upload the Markdown as an artifact with this name. Needs output-dir. |
python-version | (empty) | Python to set up. Empty uses the runner's Python (3.10 or newer). |
| Output | What it is |
|---|---|
files | How many PDF and HTML files matched. |
converted | How many were converted (or checked) with no errors. |
changed | How many Markdown files are new or changed. In check mode, how many are missing or out of date. |
scanned-files | How many PDFs have scanned pages. |
output-dir | The output folder. |
The run page also gets a short report with one row per file: where the Markdown went, and how many headings and tables it found.
tables (lines, text, off).{"ok": false, "error": ...} with --json). See also llms.txt.from doc2md_lite import convert
md, info = convert("report.pdf") # info: type, tables, headings, scanned_pages
pip install pdfplumber beautifulsoup4 reportlab "mcp<2"
python3 -m unittest discover tests
MIT. See LICENSE.